{"id":"W4225763513","doi":"10.1177/00220345211072484","title":"Nanomechanical and Molecular Characterization of Aging in Dentinal Collagen","year":2022,"lang":"en","type":"article","venue":"Journal of Dental Research","topic":"Dental materials and restorations","field":"Dentistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico","keywords":"Dentin; Demineralization; Dentinal Tubule; Nanoindentation; Chemistry; Ultrastructure; Crown (dentistry); Glycation; Dentinogenesis; Collagen fibril; Matrix (chemical analysis); Pulp (tooth); Fibril; Biophysics; Dentistry; Anatomy; Materials science; Composite material; Biochemistry; Odontoblast; Biology; Enamel paint; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00143364,0.00004596657,0.0001469186,0.0003679591,0.0001145031,0.00006326263,0.0001869219,0.00002546061,0.0003116845],"category_scores_gemma":[0.0000676358,0.00004432394,0.00004425132,0.0003268233,0.00004700964,0.0001392577,0.0003105549,0.0002041078,0.000005694702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059116,"about_ca_system_score_gemma":0.00006994852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002753701,"about_ca_topic_score_gemma":0.00001872852,"domain_scores_codex":[0.9981745,0.0003741206,0.0003884863,0.00008362503,0.0008387239,0.0001405388],"domain_scores_gemma":[0.9995551,0.00004299099,0.0001661053,0.0000703301,0.0001038641,0.00006163015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009283997,0.0001502531,0.0178497,0.00002484595,0.0000122664,0.0008229629,0.0000606778,0.000005603227,0.9801283,0.0004630992,0.00003112111,0.0003583234],"study_design_scores_gemma":[0.002584148,0.00102345,0.4752129,0.0001708832,0.00002083866,0.00451189,0.003184616,0.0002176541,0.5097623,0.001120464,0.00199869,0.0001921621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991162,0.0001939983,0.00004354975,0.00006141196,0.0003670981,0.00009948817,0.00001777975,0.000001552911,0.00009885414],"genre_scores_gemma":[0.999658,0.00004887436,0.00004778465,0.00001103813,0.00004626772,0.000004984896,0.000006077788,0.000008958227,0.000168029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.470366,"threshold_uncertainty_score":0.3412727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04010726448409752,"score_gpt":0.368644026600952,"score_spread":0.3285367621168545,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}